Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensor

Size: px
Start display at page:

Download "Estimation of the particle concentration in hydraulic liquid by the in-line automatic particle counter based on the CMOS image sensor"

Transcription

1 Glyndŵr University Reserch Online Conference Presenttion Estimtion of the prticle concentrtion in hydrulic liquid by the in-line utomtic prticle counter bsed on the CMOS imge sensor Kornilin, D.V., Kudryvtsev, I.A., McMilln, A.J., Osnlou, A. nd Rtcliffe, I. This is the text of pper presented t Opticl Mesurement Systems for Industril Inspection X, 5 June 917, Munich, Germny. The definitive version of this pper is vilble t: Recommended cittion: Kornilin, D.V., Kudryvtsev, I.A., McMilln, A.J., Osnlou, A. nd Rtcliffe, I. (017), Estimtion of the prticle concentrtion in hydrulic liquid by the in-line utomtic prticle counter bsed on the CMOS imge sensor, Proc. SPIE 1039, Opticl Mesurement Systems for Industril Inspection X, 10394K (June 6, 017); doi: /1.7059

2 Estimtion of the prticle concentrtion in hydrulic liquid by the inline utomtic prticle counter bsed on the CMOS imge sensor Dmitriy V. Kornilin *,b, Ily A. Kudryvtsev, Alison J. McMilln b, Ardeshir Osnlou b, In Rtcliffe b Smr Ntionl Reserch University, 34 Moskovskoe Shosse, Smr, Russi, ; b Glyndwr University, Mold Rod, Wrexhm, Wles, UK, LL11 AW ABSTRACT Modern hydrulic systems should be monitored on the regulr bsis. One of the most effective wys to ddress this tsk is utilizing in-line utomtic prticle counters (APC) built inside of the system. The mesurement of prticle concentrtion in hydrulic liquid by APC is crucil becuse incresing numbers of prticles should men functionl problems. Existing utomtic prticle counters hve significnt limittion for the precise mesurement of reltively low concentrtion of prticle in erospce systems or they re unble to mesure higher concentrtion in industril ones. Both issues cn be ddressed by implementtion of the CMOS imge sensor insted of single photodiode used in the most of APC. CMOS imge sensor helps to overcome the problem of the errors in volume mesurement cused by inequlity of prticle speed inside of tube. Correction is bsed on the determintion of the prticle position nd prbolic velocity distribution profile. Proposed lgorithms re lso suitble for reducing the errors relted to the prticles mtches in mesurement volume. The results of simultion show tht the ccurcy incresed up to 90 per cent nd the resolution improved ten times more compred to the single photodiode sensor. Keywords: CMOS mtrix sensor, imge processing, utomtic prticles counters, hydrulic systems, dignostic, concentrtion mesurement 1. INTRODUCTION The relibility of hydrulic systems depends on the regulr monitoring of their stte 1. One of the most effective wys to ddress this tsk is utilizing in-line utomtic prticle counters (APC) built inside of the system in order to get informtion bout wering processes inside of it, 3, 4. The informtion bout the stte of the system cn be obtined by investigtion of prmeters of prticles floting in the hydrulic liquid 1. The mesurement of prticle concentrtion is the crucil prt of such monitoring becuse incresing numbers of prticles with prticulr sizes should men tht some prt of hydrulic system does not work properly or is ner to brek down. In spite of the fct tht severl utomtic prticle counters exist, they hve significnt limittion for the precise mesurement of reltively low concentrtion of prticle in cse of utilizing it inside of erospce systems or they re unble to mesure highest concentrtion in industril ones 5. Both issues cn be ddressed by implementtion of the CMOS imge sensor insted of single photodiode used in the most of modern APC. Firstly, the ccurcy of the prticle concentrtion mesurement is influenced by the ccurcy of mesurement of the volume of liquid to be investigted. Usully, the velocity of the prticle is used for determintion of the flow rte nd the time of nlysis wheres the volume is fixed (100 ml). The velocity of the prticle is mesured by APC using the durtion of the electric pulse t the output of the photodiode. * kornilin@ssu.ru; phone ; ssu.ru

3 However, the velocity of the prticle vries throughout the tube s in the centre we hve got the mximum speed compred to the lower one ner to the pipe wll. This issue cnnot be resolved by using photodiode s it cnnot mesures the position of the prticle inside of the tube. Generlly, the ssumption tht the verge speed is mesured by ech prticle gives sufficient results for high concentrtions. Nevertheless, in cse of pure systems like erospce the error of prticle concentrtion estimtion cnnot be lower thn 30 per cent or might be higher 6. In cse of using mtrix imge sensor the position of the prticle in the tube cn be determined by imge nlysis 7 nd the rel velocity cn be clculted. In our study we represent the method nd results of prticle concentrtion determintion bsed on ssumption tht the distribution of prticle velocity is prbolic throughout the chnnel. Clcultions bsed on the proposed lgorithm show tht the totl error in concentrtion estimtion is not exceed 10 per cent nd does not depend on liquid viscosity nd temperture. Secondly, the errors of prticle concentrtion estimtion re cused by mtches of different prticles inside of mesurement volume 6. The photodiode mesures severl prticles inside of mesurement volume s one. Typiclly, the restriction of the mximum mesured concentrtion is estblished for APC bsed on photodiodes. It is bout 1500 prticles per cm 3, which is not sufficient for the industril hydrulic systems. We proposed the lgorithm of estimtion of the ccurcy of the APC bsed on mtrix sensor. Clcultions mde by using Poisson distribution prove tht the improvement of the resolution (or the limit of concentrtion to be mesured) cn chieve in verge 0 times more compred to the APC with single photodiode.. MATERIALS AND METHODS The generl eqution to determine prticle concentrtion n is following : N n =, (1) V Where N stnds for the number of prticles inside of fixed volume of liquid V. This volume ccording to the regultion documents should be 100 ml. Therefore, we need to count N prticles during the period of time t while this fixed volume of liquid goes throughout the sensor. The period of time for liquid nlysis t depends on the flow rte inside of the sensor Q ccording to the formul : t а V =, () Q Generlly, the flow rte depends on the type of liquid nd vried from nlysis to nlysis. Therefore, the sensor should determine Q utomticlly. Q depends lso on the velocity of the liquid inside of sensor smple tube. The distribution of the velocities is shown in Figure 1..1 Time of nlysis for utomtic prticle counter bsed on photodiode Usully, the flow rte in in-line photodiode sensors is estimted by the verge velocity of liquid v vg in the sensor smple tube using following reltion 8 : Q = h v, (3) 4 χ vg where χ represents the size of the chnnel long with y xis divided by the size of chnnel long with x xis, h denotes the hlf of the chnnel size long with x xis. The verge velocity v vg is determined theoreticlly using eqution 8 : p h π χ 1 3 π χ vvg = ( th + th +...) µ l 3 π χ 3, (4) where p stnds for pressure difference on the smple tube, l denotes the width of diphrgm 6, 7 ; µ is kinemtic viscosity of the liquid.

4 Utilizing eqution (4) for determintion of v vg cses problems becuse of compliction in mesurement of p nd µ during the time of nlysis. Figure 1. The distribution of velocities inside of the sensor smple tube. The distribution ws clculted for the dimension of the smple tube section with sizes 700 µm long with x xis nd 1000 µm long with y xis. This mesurement lso requires some dditionl nd very specific instruments. Thus, the v vg is estimted by prticle velocity v vg in the chnnel which cn be mesured by the pulse durtion t the output of the photodiode 6 : where d denotes prticle size nd τ stnds for the pulse durtion. v vg l + d ' =, (5) τ However, mesurement ccording reltion (5) cuses dditionl error becuse v vg reltes to the instntneous speed of liquid v inside of smple tube nd this speed vries significntly in the slice of the tube. This instntneous speed v cn be clculted using following eqution in cse of lminr flow 8 : n + 1 π x n ch( ) 16 χ h p ( 1) χ h n + 1 π y v = 1 cos( ) 3, (6) 3 π µ l 1 n 0 ( n 1) n π = + + ch( ) χ h χ This velocity is shown in Figure 1. Eventully, time of the nlysis mesured by utomtic prticle counter bsed on photodiode is determined utilizing reltion: t а = V 4 χ h v, (7) where v v vg '.. Time of nlysis for utomtic prticle counter bsed on CMOS imge sensor In cse of using mtrix CMOS imge sensor we hve dditionl informtion bout coordinte of prticle flown inside of the smple tube. This coordinte cn be used for proper determintion of the verge velocity of the liquid inside of the tube. Combining reltion (3) nd (4), we lso getting the p from eqution (6), we cn clculte the time of nlysis s following:

5 t а 64 χ V = h v n + 1 π x n ch( ) ( 1) χ h n + 1 π y 1 cos( ) n + n + 1 π ch( ) χ h χ, (8) ( ) 3 π χ 3 3 n= 0 ( 1) 3 π π χ 1 3 π χ th th 5 3 This eqution is more suitble for mtrix CMOS imge sensor becuse it might be possible to determine x nd y coordintes of prticle trck nd mke some correction for known velocities distribution ccording to the (6). We lso need to know the chnnel size h tht is constnt nd cn be mesured. The velocity of the liquid cn be mesured by the velocity of the prticle inside of smple tube utilizing this reltion: v N t p z =, (9) exp where N z stnds for the size of prticle trck on the imge in number of pixels [Sn Diego], p is pixel size nd t exp denotes exposure time of CMOS imge sensor. Let F(x, y, χ) stnds for the lst prt of eqution (8) nd m for the first one. Then F(x, y, χ) reflects the velocity distribution inside the chnnel nd m represents the sizes of chnnel. Thus from (8) nd (9) we get the following: t а m texp = V F( x, y, χ), (10) N p z Eventully, we need to know the sizes of chnnel m, exposure time of CMOS sensor, the size of prticle trck nd pixel size in order to estimte the time of nlysis for the predefined volume V..3 Accurcy of estimtion of prticle concentrtion In ccordnce with (1), the bsolute error of prticle concentrtion mesurement is determined by the error of indirect mesurement: N 1 n = V N + V V, (11) Therefore, we need to determine the bsolute error of mesurement of volume V nd bsolute error of mesurement of the prticle number counting N..4 Accurcy of volume mesurement If we propose tht the flow rte is constnt vlue, we cn obtin the V from eqution (): V = Q t, (1) As follows from the equtions (1) nd (), the reltive error of volume determintion is equl to the reltive error of mesurement of nlysis time: V t t = =, (13) V V / Q t The bsolute error of nlysis time determintion for CMOS imge sensor consists of the errors of mesurement prticle velocities v y, v x nd error in mesuring prticle trck coordinte x, y:

6 t t t t y x v y v x x y t = v + v + x + y, (14) where t should be clculted ccording to the eqution (10). The bsolute error of prticle velocity mesurement is clculted utilizing formul (9) s following: p v = N z, (15) t exp where N z stnds for the bsolute error of prticle trck mesurement. The mximum vlue of N z is two pixels becuse when prticle trck consists of only two pixels, the true length of trck cn be less thn one pixel nd up to two pixels. In ddition, the totl influence of the error in mesuring prticle trck coordinte x, y re significntly lower thn errors of mesurement prticle velocities v y, v x becuse there re ten times more pixels long with mesurement volume thn in prticle trck. Therefore, the eqution (14) cn be rewritten s following: t p p = + t vy t э vx tэ, (16) Using reltion (9) nd propose the equl velocities long with both xes, eqution (16) cn be rewritten s following:.5 Accurcy of prticle counting t =, (17) t N z The bsolute error of counting prticles N in volume is cused by the prticle mtches inside of mesurement volume. Three cses re possible for prticle mtches shown in Figure. ) b) c) Figure. Different cses of mtches prticles inside of mesurement volume. In this cses severl prticles re not distinguished from the one prticle. Cse ) represents sitution when two prticles cn be counted s one by one pixel, cse b) shows the sitution of mtches severl prticles bove severl pixels nd c) reflects the cse when prticles projections re crossing The probbility of prticle mtches P err mens tht two or more prticles re in the predetermined volume. Let V eq stnds for such volume. P err cn be clculted on the bsis of the Poisson lw. The Poisson lw estimtes the probbility P m of prticle numbers presence inside of volume V 9 : P m m = e, (18) m! where m denotes the number of prticles, stnds for the verge number of prticle in the volume V. should be clculted s following 9 :

7 Thus, P err cn be clculted s following: = nv, (19) P = 1 P P, (0) err 0 1 where P 0 nd P 1 stnds for the probbility of bsence of ny prticle nd presence only one prticle in the volume respectively. Using reltions (0) nd (18) we cn obtin for the P err following eqution: 0 1 nv P eq err = e e = e e = e (1 + nveq ), (1) 0! 1! Therefore, P err should depend on V eq in cse of constnt concentrtion n. The estimtion of the volume is bsed on drwing in Figure 3. As the CMOS sensor is flt, the V eq cn be clculted s product of the chnnel width h nd the re on the surfce of the mtrix S eq. We cn consider two-dimensionl cse. S eq is presented in Figure 3. Figure 3. Determintion of the equivlent re S eq on the surfce of the mtrix CMOS imge sensor. d stnds for prticle dimeter, x eq is the side of S eq, d dd denotes dditionl intervl for prticles to be differentited by imge processing. As follows from Figure 3, the side of the S eq cn be clculted utilizing this eqution: Therefore, the V eq should be determined s following: x = ( d + d ), () eq dd V h S h d d By substitution of reltion (3) in (1) we obtin the eqution for P err : eq = eq = 4 ( + dd ), (3) n 4 h ( d + d dd ) dd P = 1 e (1 + n 4 h ( d + d ) ), (4) err 3.1 Accurcy of volume nd nlysis time mesurement 3. RESULTS AND DUSCUSSION Generlly, if we hve the fixed volume of liquid to be investigted nd fixed flow rte we should get the constnt time of nlysis s follows from the reltion (). However, this time depends on the method of the flow rte determintion s ws shown in the methods section. The result of clcultion of the time of nlysis in cse of using single photodiode utilizing eqution (7) is shown in Figure 4. As follows from the Figure 4, t vries significntly from the vlue of roughly 45 seconds in centre of chnnel up to uncertin vlue ner to the tube wll. Theoreticlly, if the prticle goes through the chnnel on the wll, the error cn be

8 infinite. The prticle counter cn be reclibrted to determine the mximum velocity in the centre of tube though. Consequently, it leds to less error especilly when the most of the prticle goes through the centre. However, the error is still depends on the coordinte of the prticle nd cn be significnt when the totl number of prticle in the volume V less thn 100. Figure 4. The time of nlysis in reltion with prticle coordinte inside of smple tube. The true vlue of time of nlysis is 75 seconds. The line denotes the true vlue of t, the dotted line is the t, determined by single photodiode sensor. In cse of using single photodiode the reltive error of volume determintion cn be clculted ccording to the reltion (13) nd (7). We cn lso obtin the reltive ccurcy of volume mesurement δv in reltion with the prticle coordinte. This error cn esily rech the vlue of 100 per cent nd more for prticles flown ner to the wll of the tube. Utilizing equtions (17) nd (13) we cn show the reltion between reltive error of volume mesurement nd the size of prticle trck 7 shown in Figure 5. Figure 5. The influence of the length of prticle trck on the reltive error of volume mesurement. Pixel size is 6 µm. According to Figure 5 the length of trck should not be less thn 0 pixels in order to chieve the ccurcy 90 per cent. Comprison of the results represented in Figures 4 nd 5 shows tht the implementtion of CMOS imge mtrix sensor reduces the error of volume mesurement down to 10 per cent, wheres sensor bsed on single photodiode hs significnt error up to infinite vlue.

9 Figure 6. The reltive error of volume mesurement in reltion of the prticle coordinte for single photodiode sensor (line), one CMOS imge sensor (dotted line) nd two CMOS imge sensors (dshed line). However, this error decrese is possible in cse of utilizing two mtrix sensors long with the x nd y xes of the smple tube. In prctice, only one mtrix cn be esily integrted inside of smple tube nd potentil error reduction is not complete. Figure 6 represents the reltive error of volume mesurement in reltion of the prticle coordinte for single photodiode sensor, one CMOS imge sensor nd two CMOS imge sensors. In cse of using two mtrix sensors the error does not depend on the prticle trck coordinte becuse both coordinte re determined nd the mesurement volume is corrected. Sensor with only one mtrix sensor hs lower error ner to the centre of chnnel becuse of only one mesurement error relted to only one mtrix. However, the error in this cse lso depends on the prticle trck coordinte. The error of the sensor with single photodiode three times higher s the velocity of prticle determintion is not s effective s in mtrix sensor. 3. Accurcy of prticle counting As reveled by formul (4), the error in prticle counting cused by prticle mtches depend on the size of sensor chnnel, the prticle concentrtion nd sizes. Let us choose the intervl of d dd equl to the size of pixel. The results of clcultion for prticle sizes of µm nd 00 µm re represented in Figure 7. Figure 7. The probbility of error in prticle counting cused by prticle mtches in dependence of prticle concentrtion. The error for prticle sizes µm shown by dotted line nd for 00 µm represented by line.

10 As cn be seen in Figure 7, the mximum concentrtion to be mesured for µm prticles significntly higher compred to the 00 µm prticles. If we set up the probbility of error on the level of 10 per cent, the mximum concentrtion will be pproximtely 10 1 prticles in m 3, wheres for 00 µm prticles it will be roughly The resolution of sensors bsed on CMOS mtrix sensor is more thn of single photodiode sensors. This fct is lso represented in Figure 8. Figure 8. Comprison of the probbility of error in prticle counting cused by prticle mtches in dependence of prticle concentrtion for single photodiode sensor (dotted line) nd CMOS imge sensor (line). Pixel size is 6 µm, the photodiode diphrgm is 140 µm x 700 µm. As reveled in Figure 8, the resolution of CMOS imge sensor is t lest 1000 times higher thn resolution of single photodiode sensor. This fct cn be predictble by comprison of the size of pixel 6 µm nd the size of sensitive re in single photodiode sensor with dimensions 140 µm x 700 µm. In ddition, we lso should consider the length of prticle trck in cse of using CMOS imge sensor, therefore the resolution will be t lest 100 times more thn in single photodiode sensor. 4. CONCLUSION This rticle provides the theoreticl bsis nd some results for the estimtion of the mximum concentrtion to be mesured by inline utomtic prticle counter bsed on CMOS imge sensor. The comprisons mde shows tht this sensor hs significnt benefits thn single photodiode sensors. In methods section presented the lgorithm of reducing error cused by the different prticle velocities inside of mesuring chnnel of the sensor to be implemented in CMOS imge sensors. The method of choosing proper prmeters of CMOS imge prticle sensor like pixel size, exposure time is lso provided. The mterils in this rticle cn lso be used for the ccurcy estimtion for both single photodiode nd CMOS imge prticle sensors. REFERENCES [1] Fitch, E. C., [Fluid Contnintion Control], Technology trnsfer Series 4, Oklhome, 15-3 (1988). [] Logvinov, L. M., [The Dignostics of Fluid Systems of Equipment Using the Prmeters of the Hydrulic Fluid], CNTI Poisk, Moscow, 5-0 (199). [3] Fitch, J., "The Usefulness of Prticle Counting in Oil Anlysis, " EPRI/NMAC Lube Notes 1, 5-5 (00) [4] Fitch, J., "In-line Contmintion Mesurement Device, " U.S. Ptent No , 1-10 (1994). [5] Kornilin, D. V., Kudryvtsev, I. A., Voronof, A. F. et l, "Defining the prmeters of the disperse phse sensor built-in control of hydrulic systems bsed on CMOS-mtrix," Devices 5, (010). [6] Kudryvtsev, I. A. [Incresing the Resolution nd Sensitivity of the Built-in Control of the Dispersed Phse of Photoelectric Converters for Control Systems], SSAU, Smr, (1999).

11 [7] Kornilin, D. V., Kudryvtsev, I. A., McMill A. J. et l, Determintion of prticle sizes in hydrulic liquids bsed on imge- nd subpixel processing, Proc. SPIE 9971, (016). [8] Loytsynskiy, L. G., [Mechnics of liquids nd gses], Nuk, Moscow, (1973). [9] Ventsel, E.S., [The theory of probbility], Vyshy shkol, Moscow, (1998).

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1 3 9. SEQUENCES AND SERIES 63. Representtion of functions s power series Consider power series x 2 + x 4 x 6 + x 8 + = ( ) n x 2n It is geometric series with q = x 2 nd therefore it converges for ll q =

More information

Math 1B, lecture 4: Error bounds for numerical methods

Math 1B, lecture 4: Error bounds for numerical methods Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the

More information

Quantum Physics II (8.05) Fall 2013 Assignment 2

Quantum Physics II (8.05) Fall 2013 Assignment 2 Quntum Physics II (8.05) Fll 2013 Assignment 2 Msschusetts Institute of Technology Physics Deprtment Due Fridy September 20, 2013 September 13, 2013 3:00 pm Suggested Reding Continued from lst week: 1.

More information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES Introduction In rigid body kinemtics, e use the reltionships governing the displcement, velocity nd ccelertion, but must lso ccount for the rottionl motion of the body. Description

More information

Applications of Bernoulli s theorem. Lecture - 7

Applications of Bernoulli s theorem. Lecture - 7 Applictions of Bernoulli s theorem Lecture - 7 Prcticl Applictions of Bernoulli s Theorem The Bernoulli eqution cn be pplied to gret mny situtions not just the pipe flow we hve been considering up to now.

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information

ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS

ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS F. Tkeo 1 nd M. Sk 1 Hchinohe Ntionl College of Technology, Hchinohe, Jpn; Tohoku University, Sendi, Jpn Abstrct:

More information

The Regulated and Riemann Integrals

The Regulated and Riemann Integrals Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue

More information

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0) 1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this

More information

APPROXIMATE INTEGRATION

APPROXIMATE INTEGRATION APPROXIMATE INTEGRATION. Introduction We hve seen tht there re functions whose nti-derivtives cnnot be expressed in closed form. For these resons ny definite integrl involving these integrnds cnnot be

More information

Purpose of the experiment

Purpose of the experiment Newton s Lws II PES 6 Advnced Physics Lb I Purpose of the experiment Exmine two cses using Newton s Lws. Sttic ( = 0) Dynmic ( 0) fyi fyi Did you know tht the longest recorded flight of chicken is thirteen

More information

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data A07 Uncertinties in Locl Anisotropy Estimtion from Multi-offset VSP Dt M. Asghrzdeh* (Curtin University), A. Bon (Curtin University), R. Pevzner (Curtin University), M. Urosevic (Curtin University) & B.

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

Math 113 Exam 2 Practice

Math 113 Exam 2 Practice Mth 3 Exm Prctice Februry 8, 03 Exm will cover 7.4, 7.5, 7.7, 7.8, 8.-3 nd 8.5. Plese note tht integrtion skills lerned in erlier sections will still be needed for the mteril in 7.5, 7.8 nd chpter 8. This

More information

Recitation 3: More Applications of the Derivative

Recitation 3: More Applications of the Derivative Mth 1c TA: Pdric Brtlett Recittion 3: More Applictions of the Derivtive Week 3 Cltech 2012 1 Rndom Question Question 1 A grph consists of the following: A set V of vertices. A set E of edges where ech

More information

Numerical Integration

Numerical Integration Chpter 5 Numericl Integrtion Numericl integrtion is the study of how the numericl vlue of n integrl cn be found. Methods of function pproximtion discussed in Chpter??, i.e., function pproximtion vi the

More information

Lecture 14: Quadrature

Lecture 14: Quadrature Lecture 14: Qudrture This lecture is concerned with the evlution of integrls fx)dx 1) over finite intervl [, b] The integrnd fx) is ssumed to be rel-vlues nd smooth The pproximtion of n integrl by numericl

More information

Best Approximation in the 2-norm

Best Approximation in the 2-norm Jim Lmbers MAT 77 Fll Semester 1-11 Lecture 1 Notes These notes correspond to Sections 9. nd 9.3 in the text. Best Approximtion in the -norm Suppose tht we wish to obtin function f n (x) tht is liner combintion

More information

Monte Carlo method in solving numerical integration and differential equation

Monte Carlo method in solving numerical integration and differential equation Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The

More information

Math& 152 Section Integration by Parts

Math& 152 Section Integration by Parts Mth& 5 Section 7. - Integrtion by Prts Integrtion by prts is rule tht trnsforms the integrl of the product of two functions into other (idelly simpler) integrls. Recll from Clculus I tht given two differentible

More information

Lecture 1. Functional series. Pointwise and uniform convergence.

Lecture 1. Functional series. Pointwise and uniform convergence. 1 Introduction. Lecture 1. Functionl series. Pointwise nd uniform convergence. In this course we study mongst other things Fourier series. The Fourier series for periodic function f(x) with period 2π is

More information

CHM Physical Chemistry I Chapter 1 - Supplementary Material

CHM Physical Chemistry I Chapter 1 - Supplementary Material CHM 3410 - Physicl Chemistry I Chpter 1 - Supplementry Mteril For review of some bsic concepts in mth, see Atkins "Mthemticl Bckground 1 (pp 59-6), nd "Mthemticl Bckground " (pp 109-111). 1. Derivtion

More information

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon Phys463.nb 49 7 Energy Bnds Ref: textbook, Chpter 7 Q: Why re there insultors nd conductors? Q: Wht will hppen when n electron moves in crystl? In the previous chpter, we discussed free electron gses,

More information

1 Online Learning and Regret Minimization

1 Online Learning and Regret Minimization 2.997 Decision-Mking in Lrge-Scle Systems My 10 MIT, Spring 2004 Hndout #29 Lecture Note 24 1 Online Lerning nd Regret Minimiztion In this lecture, we consider the problem of sequentil decision mking in

More information

Review of basic calculus

Review of basic calculus Review of bsic clculus This brief review reclls some of the most importnt concepts, definitions, nd theorems from bsic clculus. It is not intended to tech bsic clculus from scrtch. If ny of the items below

More information

The steps of the hypothesis test

The steps of the hypothesis test ttisticl Methods I (EXT 7005) Pge 78 Mosquito species Time of dy A B C Mid morning 0.0088 5.4900 5.5000 Mid Afternoon.3400 0.0300 0.8700 Dusk 0.600 5.400 3.000 The Chi squre test sttistic is the sum of

More information

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018 Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

Tests for the Ratio of Two Poisson Rates

Tests for the Ratio of Two Poisson Rates Chpter 437 Tests for the Rtio of Two Poisson Rtes Introduction The Poisson probbility lw gives the probbility distribution of the number of events occurring in specified intervl of time or spce. The Poisson

More information

Week 10: Line Integrals

Week 10: Line Integrals Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.

More information

Some parameters of varicaps with gradient base area based on Shottky barrier

Some parameters of varicaps with gradient base area based on Shottky barrier ISSN: 35-38 Vol. 4, Issue, December 7 Some prmeters of vricps with grdient bse re bsed on Shottky brrier Mmtkrimov O.O., KuchkrovB.Kh. Rector, Nmngn engineering-technology institute, Kosonsoy str.,7, Nmngn,

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

7.2 The Definite Integral

7.2 The Definite Integral 7.2 The Definite Integrl the definite integrl In the previous section, it ws found tht if function f is continuous nd nonnegtive, then the re under the grph of f on [, b] is given by F (b) F (), where

More information

Terminal Velocity and Raindrop Growth

Terminal Velocity and Raindrop Growth Terminl Velocity nd Rindrop Growth Terminl velocity for rindrop represents blnce in which weight mss times grvity is equl to drg force. F 3 π3 ρ L g in which is drop rdius, g is grvittionl ccelertion,

More information

New data structures to reduce data size and search time

New data structures to reduce data size and search time New dt structures to reduce dt size nd serch time Tsuneo Kuwbr Deprtment of Informtion Sciences, Fculty of Science, Kngw University, Hirtsuk-shi, Jpn FIT2018 1D-1, No2, pp1-4 Copyright (c)2018 by The Institute

More information

CBE 291b - Computation And Optimization For Engineers

CBE 291b - Computation And Optimization For Engineers The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral Improper Integrls Every time tht we hve evluted definite integrl such s f(x) dx, we hve mde two implicit ssumptions bout the integrl:. The intervl [, b] is finite, nd. f(x) is continuous on [, b]. If one

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

Homework 4 , (1) 1+( NA +N D , (2)

Homework 4 , (1) 1+( NA +N D , (2) Homework 4. Problem. Find the resistivity ρ (in ohm-cm) for piece of Si doped with both cceptors (N A = 9 cm 3 ) nd donors (N D = 6 cm 3 ). Since the electron nd hole mobilities depend on the concentrtion

More information

Math 113 Exam 2 Practice

Math 113 Exam 2 Practice Mth Em Prctice Februry, 8 Em will cover sections 6.5, 7.-7.5 nd 7.8. This sheet hs three sections. The first section will remind you bout techniques nd formuls tht you should know. The second gives number

More information

Integral points on the rational curve

Integral points on the rational curve Integrl points on the rtionl curve y x bx c x ;, b, c integers. Konstntine Zeltor Mthemtics University of Wisconsin - Mrinette 750 W. Byshore Street Mrinette, WI 5443-453 Also: Konstntine Zeltor P.O. Box

More information

Chapter 14. Matrix Representations of Linear Transformations

Chapter 14. Matrix Representations of Linear Transformations Chpter 4 Mtrix Representtions of Liner Trnsformtions When considering the Het Stte Evolution, we found tht we could describe this process using multipliction by mtrix. This ws nice becuse computers cn

More information

Physics 202H - Introductory Quantum Physics I Homework #08 - Solutions Fall 2004 Due 5:01 PM, Monday 2004/11/15

Physics 202H - Introductory Quantum Physics I Homework #08 - Solutions Fall 2004 Due 5:01 PM, Monday 2004/11/15 Physics H - Introductory Quntum Physics I Homework #8 - Solutions Fll 4 Due 5:1 PM, Mondy 4/11/15 [55 points totl] Journl questions. Briefly shre your thoughts on the following questions: Of the mteril

More information

LECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry

LECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry LECTURE 14 Dr. Teres D. Golden University of North Texs Deprtment of Chemistry Quntittive Methods A. Quntittive Phse Anlysis Qulittive D phses by comprison with stndrd ptterns. Estimte of proportions of

More information

Intro to Nuclear and Particle Physics (5110)

Intro to Nuclear and Particle Physics (5110) Intro to Nucler nd Prticle Physics (5110) Feb, 009 The Nucler Mss Spectrum The Liquid Drop Model //009 1 E(MeV) n n(n-1)/ E/[ n(n-1)/] (MeV/pir) 1 C 16 O 0 Ne 4 Mg 7.7 14.44 19.17 8.48 4 5 6 6 10 15.4.41

More information

Heat flux and total heat

Heat flux and total heat Het flux nd totl het John McCun Mrch 14, 2017 1 Introduction Yesterdy (if I remember correctly) Ms. Prsd sked me question bout the condition of insulted boundry for the 1D het eqution, nd (bsed on glnce

More information

Section 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40

Section 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40 Mth B Prof. Audrey Terrs HW # Solutions by Alex Eustis Due Tuesdy, Oct. 9 Section 5. #7,, 6,, 5; Section 5. #8, 9, 5,, 7, 3; Section 5.3 #4, 6, 9, 3, 6, 8, 3; Section 5.4 #7, 8,, 3, 5, 9, 4 5..7 Since

More information

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim Mth 9 Course Summry/Study Guide Fll, 2005 [1] Limits Definition of Limit: We sy tht L is the limit of f(x) s x pproches if f(x) gets closer nd closer to L s x gets closer nd closer to. We write lim f(x)

More information

Main topics for the Second Midterm

Main topics for the Second Midterm Min topics for the Second Midterm The Midterm will cover Sections 5.4-5.9, Sections 6.1-6.3, nd Sections 7.1-7.7 (essentilly ll of the mteril covered in clss from the First Midterm). Be sure to know the

More information

Module 2: Rate Law & Stoichiomtery (Chapter 3, Fogler)

Module 2: Rate Law & Stoichiomtery (Chapter 3, Fogler) CHE 309: Chemicl Rection Engineering Lecture-8 Module 2: Rte Lw & Stoichiomtery (Chpter 3, Fogler) Topics to be covered in tody s lecture Thermodynmics nd Kinetics Rection rtes for reversible rections

More information

Infinite Geometric Series

Infinite Geometric Series Infinite Geometric Series Finite Geometric Series ( finite SUM) Let 0 < r < 1, nd let n be positive integer. Consider the finite sum It turns out there is simple lgebric expression tht is equivlent to

More information

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

Chapter 0. What is the Lebesgue integral about?

Chapter 0. What is the Lebesgue integral about? Chpter 0. Wht is the Lebesgue integrl bout? The pln is to hve tutoril sheet ech week, most often on Fridy, (to be done during the clss) where you will try to get used to the ides introduced in the previous

More information

Driving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d

Driving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d Interntionl Industril Informtics nd Computer Engineering Conference (IIICEC 15) Driving Cycle Construction of City Rod for Hybrid Bus Bsed on Mrkov Process Deng Pn1,, Fengchun Sun1,b*, Hongwen He1, c,

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

Jackson 2.26 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell

Jackson 2.26 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell Jckson 2.26 Homework Problem Solution Dr. Christopher S. Bird University of Msschusetts Lowell PROBLEM: The two-dimensionl region, ρ, φ β, is bounded by conducting surfces t φ =, ρ =, nd φ = β held t zero

More information

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS 4.5 The Funmentl Theorem of Clculus Contemporry Clculus 4.5 THE FUNDAMENTAL THEOREM OF CALCULUS This section contins the most importnt n most use theorem of clculus, THE Funmentl Theorem of Clculus. Discovere

More information

An approximation to the arithmetic-geometric mean. G.J.O. Jameson, Math. Gazette 98 (2014), 85 95

An approximation to the arithmetic-geometric mean. G.J.O. Jameson, Math. Gazette 98 (2014), 85 95 An pproximtion to the rithmetic-geometric men G.J.O. Jmeson, Mth. Gzette 98 (4), 85 95 Given positive numbers > b, consider the itertion given by =, b = b nd n+ = ( n + b n ), b n+ = ( n b n ) /. At ech

More information

2008 Mathematical Methods (CAS) GA 3: Examination 2

2008 Mathematical Methods (CAS) GA 3: Examination 2 Mthemticl Methods (CAS) GA : Exmintion GENERAL COMMENTS There were 406 students who st the Mthemticl Methods (CAS) exmintion in. Mrks rnged from to 79 out of possible score of 80. Student responses showed

More information

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that Arc Length of Curves in Three Dimensionl Spce If the vector function r(t) f(t) i + g(t) j + h(t) k trces out the curve C s t vries, we cn mesure distnces long C using formul nerly identicl to one tht we

More information

different methods (left endpoint, right endpoint, midpoint, trapezoid, Simpson s).

different methods (left endpoint, right endpoint, midpoint, trapezoid, Simpson s). Mth 1A with Professor Stnkov Worksheet, Discussion #41; Wednesdy, 12/6/217 GSI nme: Roy Zho Problems 1. Write the integrl 3 dx s limit of Riemnn sums. Write it using 2 intervls using the 1 x different

More information

Abstract inner product spaces

Abstract inner product spaces WEEK 4 Abstrct inner product spces Definition An inner product spce is vector spce V over the rel field R equipped with rule for multiplying vectors, such tht the product of two vectors is sclr, nd the

More information

Measuring Electron Work Function in Metal

Measuring Electron Work Function in Metal n experiment of the Electron topic Mesuring Electron Work Function in Metl Instructor: 梁生 Office: 7-318 Emil: shling@bjtu.edu.cn Purposes 1. To understnd the concept of electron work function in metl nd

More information

A5682: Introduction to Cosmology Course Notes. 4. Cosmic Dynamics: The Friedmann Equation. = GM s

A5682: Introduction to Cosmology Course Notes. 4. Cosmic Dynamics: The Friedmann Equation. = GM s 4. Cosmic Dynmics: The Friedmnn Eqution Reding: Chpter 4 Newtonin Derivtion of the Friedmnn Eqution Consider n isolted sphere of rdius R s nd mss M s, in uniform, isotropic expnsion (Hubble flow). The

More information

The International Association for the Properties of Water and Steam. Release on the Ionization Constant of H 2 O

The International Association for the Properties of Water and Steam. Release on the Ionization Constant of H 2 O IAPWS R-7 The Interntionl Assocition for the Properties of Wter nd Stem Lucerne, Sitzerlnd August 7 Relese on the Ioniztion Constnt of H O 7 The Interntionl Assocition for the Properties of Wter nd Stem

More information

13: Diffusion in 2 Energy Groups

13: Diffusion in 2 Energy Groups 3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups

More information

MATH SS124 Sec 39 Concepts summary with examples

MATH SS124 Sec 39 Concepts summary with examples This note is mde for students in MTH124 Section 39 to review most(not ll) topics I think we covered in this semester, nd there s exmples fter these concepts, go over this note nd try to solve those exmples

More information

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature CMDA 4604: Intermedite Topics in Mthemticl Modeling Lecture 19: Interpoltion nd Qudrture In this lecture we mke brief diversion into the res of interpoltion nd qudrture. Given function f C[, b], we sy

More information

CS667 Lecture 6: Monte Carlo Integration 02/10/05

CS667 Lecture 6: Monte Carlo Integration 02/10/05 CS667 Lecture 6: Monte Crlo Integrtion 02/10/05 Venkt Krishnrj Lecturer: Steve Mrschner 1 Ide The min ide of Monte Crlo Integrtion is tht we cn estimte the vlue of n integrl by looking t lrge number of

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004 Advnced Clculus: MATH 410 Notes on Integrls nd Integrbility Professor Dvid Levermore 17 October 2004 1. Definite Integrls In this section we revisit the definite integrl tht you were introduced to when

More information

Lecture 13 - Linking E, ϕ, and ρ

Lecture 13 - Linking E, ϕ, and ρ Lecture 13 - Linking E, ϕ, nd ρ A Puzzle... Inner-Surfce Chrge Density A positive point chrge q is locted off-center inside neutrl conducting sphericl shell. We know from Guss s lw tht the totl chrge on

More information

Time Optimal Control of the Brockett Integrator

Time Optimal Control of the Brockett Integrator Milno (Itly) August 8 - September, 011 Time Optiml Control of the Brockett Integrtor S. Sinh Deprtment of Mthemtics, IIT Bomby, Mumbi, Indi (emil : sunnysphs4891@gmil.com) Abstrct: The Brockett integrtor

More information

Numerical Analysis: Trapezoidal and Simpson s Rule

Numerical Analysis: Trapezoidal and Simpson s Rule nd Simpson s Mthemticl question we re interested in numericlly nswering How to we evlute I = f (x) dx? Clculus tells us tht if F(x) is the ntiderivtive of function f (x) on the intervl [, b], then I =

More information

INTRODUCTION. The three general approaches to the solution of kinetics problems are:

INTRODUCTION. The three general approaches to the solution of kinetics problems are: INTRODUCTION According to Newton s lw, prticle will ccelerte when it is subjected to unblnced forces. Kinetics is the study of the reltions between unblnced forces nd the resulting chnges in motion. The

More information

Math 100 Review Sheet

Math 100 Review Sheet Mth 100 Review Sheet Joseph H. Silvermn December 2010 This outline of Mth 100 is summry of the mteril covered in the course. It is designed to be study id, but it is only n outline nd should be used s

More information

DETERMINATION OF MECHANICAL PROPERTIES OF NANOSTRUCTURES WITH COMPLEX CRYSTAL LATTICE USING MOMENT INTERACTION AT MICROSCALE

DETERMINATION OF MECHANICAL PROPERTIES OF NANOSTRUCTURES WITH COMPLEX CRYSTAL LATTICE USING MOMENT INTERACTION AT MICROSCALE Determintion RevAdvMterSci of mechnicl 0(009) -7 properties of nnostructures with complex crystl lttice using DETERMINATION OF MECHANICAL PROPERTIES OF NANOSTRUCTURES WITH COMPLEX CRYSTAL LATTICE USING

More information

Math 116 Final Exam April 26, 2013

Math 116 Final Exam April 26, 2013 Mth 6 Finl Exm April 26, 23 Nme: EXAM SOLUTIONS Instructor: Section:. Do not open this exm until you re told to do so. 2. This exm hs 5 pges including this cover. There re problems. Note tht the problems

More information

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b.

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b. Mth 255 - Vector lculus II Notes 4.2 Pth nd Line Integrls We begin with discussion of pth integrls (the book clls them sclr line integrls). We will do this for function of two vribles, but these ides cn

More information

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1 Exm, Mthemtics 471, Section ETY6 6:5 pm 7:4 pm, Mrch 1, 16, IH-115 Instructor: Attil Máté 1 17 copies 1. ) Stte the usul sufficient condition for the fixed-point itertion to converge when solving the eqution

More information

INVESTIGATION OF BURSA, ESKIKARAAGAC USING VERTICAL ELECTRICAL SOUNDING METHOD

INVESTIGATION OF BURSA, ESKIKARAAGAC USING VERTICAL ELECTRICAL SOUNDING METHOD INVESTIGATION OF BURSA, ESKIKARAAGAC USING VERTICAL ELECTRICAL SOUNDING METHOD Gökçen ERYILMAZ TÜRKKAN, Serdr KORKMAZ Uludg University, Civil Engineering Deprtment, Burs, Turkey geryilmz@uludg.edu.tr,

More information

First Semester Review Calculus BC

First Semester Review Calculus BC First Semester Review lculus. Wht is the coordinte of the point of inflection on the grph of Multiple hoice: No lcultor y 3 3 5 4? 5 0 0 3 5 0. The grph of piecewise-liner function f, for 4, is shown below.

More information

Problems for HW X. C. Gwinn. November 30, 2009

Problems for HW X. C. Gwinn. November 30, 2009 Problems for HW X C. Gwinn November 30, 2009 These problems will not be grded. 1 HWX Problem 1 Suppose thn n object is composed of liner dielectric mteril, with constnt reltive permittivity ɛ r. The object

More information

Freely propagating jet

Freely propagating jet Freely propgting jet Introduction Gseous rectnts re frequently introduced into combustion chmbers s jets. Chemicl, therml nd flow processes tht re tking plce in the jets re so complex tht nlyticl description

More information

Name Solutions to Test 3 November 8, 2017

Name Solutions to Test 3 November 8, 2017 Nme Solutions to Test 3 November 8, 07 This test consists of three prts. Plese note tht in prts II nd III, you cn skip one question of those offered. Some possibly useful formuls cn be found below. Brrier

More information

Riemann is the Mann! (But Lebesgue may besgue to differ.)

Riemann is the Mann! (But Lebesgue may besgue to differ.) Riemnn is the Mnn! (But Lebesgue my besgue to differ.) Leo Livshits My 2, 2008 1 For finite intervls in R We hve seen in clss tht every continuous function f : [, b] R hs the property tht for every ɛ >

More information

Study on the Calculation of Magnetic Force Based on the Equivalent Magnetic Charge Method

Study on the Calculation of Magnetic Force Based on the Equivalent Magnetic Charge Method Avilble online t www.sciencedirect.com Physics Procedi 4 () 9 97 Interntionl Conference on Applied Physics nd Industril Engineering Study on the Clcultion of Mgnetic Force Bsed on the Equivlent Mgnetic

More information

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as Improper Integrls Two different types of integrls cn qulify s improper. The first type of improper integrl (which we will refer to s Type I) involves evluting n integrl over n infinite region. In the grph

More information

Prof. Anchordoqui. Problems set # 4 Physics 169 March 3, 2015

Prof. Anchordoqui. Problems set # 4 Physics 169 March 3, 2015 Prof. Anchordoui Problems set # 4 Physics 169 Mrch 3, 15 1. (i) Eight eul chrges re locted t corners of cube of side s, s shown in Fig. 1. Find electric potentil t one corner, tking zero potentil to be

More information

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f 1. Appliction of functionl nlysis to PEs 1.1. Introduction. In this section we give little introduction to prtil differentil equtions. In prticulr we consider the problem u(x) = f(x) x, u(x) = x (1) where

More information

Calculus I-II Review Sheet

Calculus I-II Review Sheet Clculus I-II Review Sheet 1 Definitions 1.1 Functions A function is f is incresing on n intervl if x y implies f(x) f(y), nd decresing if x y implies f(x) f(y). It is clled monotonic if it is either incresing

More information

The Properties of Stars

The Properties of Stars 10/11/010 The Properties of Strs sses Using Newton s Lw of Grvity to Determine the ss of Celestil ody ny two prticles in the universe ttrct ech other with force tht is directly proportionl to the product

More information

Recitation 3: Applications of the Derivative. 1 Higher-Order Derivatives and their Applications

Recitation 3: Applications of the Derivative. 1 Higher-Order Derivatives and their Applications Mth 1c TA: Pdric Brtlett Recittion 3: Applictions of the Derivtive Week 3 Cltech 013 1 Higher-Order Derivtives nd their Applictions Another thing we could wnt to do with the derivtive, motivted by wht

More information

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a). The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples

More information

221B Lecture Notes WKB Method

221B Lecture Notes WKB Method Clssicl Limit B Lecture Notes WKB Method Hmilton Jcobi Eqution We strt from the Schrödinger eqution for single prticle in potentil i h t ψ x, t = [ ] h m + V x ψ x, t. We cn rewrite this eqution by using

More information